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Onboarding campaigns should help a customer complete a useful task. These ten patterns connect a barrier to a message, trigger and measurable outcome. They are candidates to test, not ten campaigns to activate at once. Their effectiveness depends on the product, audience and data; no universal uplift is claimed.
1. The activation-milestone prompt
Define first value, such as saving a usable budget, and offer one route to it. Trigger from the relevant onboarding state and exit when the action completes.
Test completion before and during the wait. Measure the meaningful event rather than only taps on the prompt.
2. The empty-state guide
Use an explicitly chosen goal or role to explain the next useful action. Offer a neutral route when that information is unavailable rather than guessing consequential personal characteristics.
For a fictional team tool, a personal-project example and an invitation flow serve different needs. Verify the missing-role case too.
3. The inactivity rescue
Choose inactivity from observed product behavior. Twenty-four or forty-eight hours is not a universal threshold. Offer one low-friction way to resume the unfinished task.
Exit on renewed activity, limit follow-up and inspect opt-outs alongside task completion. Pressure is not the same as help.
4. Relevant feature discovery
Introduce a feature after an action makes it useful. A saved report can make scheduled reporting relevant; it does not justify a tour of every advanced feature.
Use the action as context and suppress the prompt after adoption. Distinguish a feature view from meaningful use.
5. Evidence at a decision point
Use relevant, approved evidence such as a documented case study or a clear explanation of the next step. Do not invent outcomes or imply another company's results are guaranteed.
If no appropriate proof exists, explain benefit and effort honestly. Test whether the material helps completion rather than only attracting attention.
6. A progress checklist
Choose a few tasks that actually lead to value and update them from reliable product events. A checklist that remains wrong after completion undermines trust.
Test repeated events, out-of-order actions and returning users. Use accurate progress rather than artificial urgency.
7. Human help for a defined need
Route to a person for a complex setup, explicit help request or agreed service tier. Define the qualifying condition and confirm the receiving team can respond.
Measure response time and resolution. A handoff that creates an unattended queue is not a successful onboarding experience.
8. The pre-expiry reminder
Use the actual entitlement expiry as the source of truth. Explain what remains to be done and what happens next. Promise an extension only if it is authorized for that customer.
Test timezone boundaries, changed dates and already-converted users. Limit contacts and suppress obsolete reminders.
9. Channel preference and reachability
Respect explicit preferences and current subscription state. When using a historical engagement filter, handle insufficient history and an unreachable preferred channel.
Build and test the routes for push-only, email-only and unreachable users. Do not assume the filter automatically constructs a deliverable journey.
10. A next-step recommendation
Start with an explainable rule for the next useful action. Evaluate AI only when its inputs, operating ownership and measurement are ready.
Keep fallbacks for sparse history and suppress completed actions. Compare the relevant product outcome with the existing approach rather than calling clicks activation.
A release brief for the first campaign
Record barrier, entry, required data, permitted channel, destination, exit, expiry, owner and metric. Prioritize a valuable problem with reliable inputs and a manageable test scope.
Keep the previous experience available for rollback. Expand after the result and operating cost can be explained, and coordinate contacts before adding another pattern.
Choose one onboarding barrier and test it
Choose the first campaign by customer value, data readiness and implementation effort. Write a brief containing the barrier, entry condition, needed data, permitted channel, destination, exit, expiry and owner. These are patterns to test, not guaranteed results.
For a fictional budgeting app, start with a prompt to save the first budget. Compare completion with a suitable randomized holdout, inspect support contacts and opt-outs, and expand only after the result can be explained. Do not promise an extension or incentive unless it is authorized for that user.
| Test case | Expected result |
|---|---|
| Task is already complete | Suppress the reminder |
| Trial expiry changes | Use the current source-of-truth date |
| Several campaigns compete | Coordinate contact rules before launching another |
The worked example and test cases are illustrative editorial guidance, not measured client outcomes or a claim that a live integration has been tested.
Frequently asked questions
Are these proven for every product? No. They are practical patterns that require validation in context; examples here are not CustomerIK case-study results.
Should all ten run together? No. Overlapping messages can increase pressure and make attribution harder.
What is the primary metric? Choose a meaningful activation event and observation window. Use opens and clicks as supporting signals.
Implementation references
- Braze: Create a Canvas
- Braze: In-app messages
- Braze: Intelligent Channel filter
- Braze: Item recommendations
Related implementation guides
- Tracking User Events for Better Campaigns in Braze
- Email Campaign Reporting: What to Track in Braze
- How to Build an Automated Marketing Workflow in Braze
CustomerIK helps teams implement Braze data and lifecycle programs. Discuss your audience, data sources and intended customer outcome with the team.
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